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approaches to analysing LiDAR and vision data in forest imaging and remote sensing. The role is part of a three-year project with SCION in New Zealand bringing together researchers in robotic perception
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skills to design and develop image analytic applications based on project needs – will be an advantage About you: completed a Ph.D.in Medical Imaging or in a relevant discipline (Health Sciences, Medicine
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on the opportunity to reduce their risk of a heart attack through taking lifesaving drugs. CAD Frontiers is an Australian-led, global team composed of clinicians, researchers, data scientists, healthcare and industry
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the timely resolution of enquiries from staff and other agencies. Your analytical skills and experience working with business systems will be key in effectively providing solutions to a diversified range of
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an organisation with a meaningful purpose and impact, the Faculty of Medicine and Health at The University of Sydney, recently ranked #18 in the world. Join a high performing Business Insights and Analytics team
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data to support work in carbon footprint quantification. map healthcare carbon reduction case studies describing the quantitative methods, systems interventions and impact. contextualise research
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information on our School. The University of Sydney supports and promotes Aboriginal and Torres Strait Islander participation at every level of study, work, and research. It is a core part of our purpose as a
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for material flow analysis and hybridising physical, financial and economic data in the context of carbon footprinting techniques and will be working as part of a larger multidisciplinary team. The project is
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experience in supervising or mentoring others and/or coordinating team activities. Level B: A PHD or equivalent in the discipline of occupational therapy or relevant field (Level B-C) strong research profile
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teaching, innovation, curriculum development, research training and supervision within the school or faculty. About you A PhD in an academic field relevant to the discipline of speech pathology eligible